Evidence map›Paper›PMID 40647911›Full record

ArticlePlants (Basel, Switzerland)2025

Exploring the Potential of Phytocannabinoids Against Multidrug-Resistant Bacteria.

Carmina Sirignano, Simona De Vita, Ernesto Gargiulo, Massimiliano Lucidi, Daniela Visaggio, Maria Giovanna Chini, Gianluigi Lauro, Giuseppina Chianese, Paolo Visca, Giuseppe Bifulco and 1 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carmina SirignanoDepartment of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, 80131 Napoli, Italy.
Simona De VitaDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy.ORCID 0000-0002-8203-3580
Ernesto GargiuloDepartment of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, 80131 Napoli, Italy.ORCID 0009-0005-9677-6288
Massimiliano LucidiDepartment of Science, Roma Tre University, Viale Guglielmo Marconi 446, 00146 Rome, Italy.ORCID 0000-0003-3238-9164
Daniela VisaggioDepartment of Science, Roma Tre University, Viale Guglielmo Marconi 446, 00146 Rome, Italy.
Maria Giovanna ChiniDepartment of Biosciences and Territory, University of Molise, Contrada Fonte Lappone, 86090 Pesche, Italy.
Gianluigi LauroDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy.ORCID 0000-0001-5065-9717
Giuseppina ChianeseDepartment of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, 80131 Napoli, Italy.ORCID 0000-0002-1008-3167
Paolo ViscaDepartment of Science, Roma Tre University, Viale Guglielmo Marconi 446, 00146 Rome, Italy.ORCID 0000-0002-6128-7039
Giuseppe BifulcoDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy.
Orazio Taglialatela-ScafatiDepartment of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, 80131 Napoli, Italy.ORCID 0000-0001-8010-0180

Funding

EU funding within the MUR PNRR Extended Partnership initiative on Emerging Infectious Diseases Project no. PE00000007, INF-ACT
6 · The paper itself

Abstract

The rapid emergence of multidrug-resistant (MDR) bacterial pathogens poses a critical threat to global health, creating an urgent need for novel antimicrobial agents. In this study, we evaluated a small library of natural and semisynthetic phytocannabinoids against a broad panel of MDR Gram-positive bacterial strains, evidencing very good activity in the low µM range. We provide evidence of the antibacterial activity of the two separated enantiomers of cannabidiol, offering novel insights into the stereochemical aspects of their bioactivity. To investigate the possible molecular targets and clarify the mechanism of action, we employed Inverse Virtual Screening (IVS), a computational approach optimized for predicting potential protein-ligand interactions, on three selected MDR bacterial species. Interestingly, key targets belonging to important bacterial metabolic pathways and defense mechanisms were retrieved, and the results were used to rationalize the observed biological activities. To the best of our knowledge, this study marks the first application of IVS to microorganisms, offering a novel strategy for identifying bacterial protein targets. The results pave the way for future experimental validation, structure-based drug design, and the development of novel antibacterial agents.

Indexed as

antibacterial activitycannabinoidsinverse virtual screeningmultidrug resistance

Identifiers

PMID40647911
PMCPMC12251955

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.